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Sergey Levine

What Sergey Levine thinks about LLMs

@sergey-levine · 24 positions · On ppll ↗

Professor of computer science at UC Berkeley, and a co-founder of the robotic foundation model company Physical Intelligence.

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3 dated positions, 2025, in their own words. Our reading of what Sergey Levine has said — not written or endorsed by them.

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  1. self-driving carsrobotics

    uh common sense meaning the ability to make inferences about what might happen uh that are reasonable guesses but that do not require you to experience that mistake and learn and learn from it in advance that's tremendously important and that's something that we basically had no idea how to do uh about 5 years ago but now uh you we can actually use LLMs and VLMs ask them questions and they will make reasonable guesses

    ↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 9th of 24 in this recording

  2. Whereas with text, it's already sort of been abstract into those bits that we as humans care about. So the representations are already there and they're not just good representations. They actually like focus in on what really matters.

    ↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 12th of 24 in this recording

  3. Yeah. So there's a subtlety here. Emerging capabilities don't just come from the fact that internet data has a lot of stuff in it. They also come from the fact that generalization once it reaches a certain level becomes compositional.

    ↗Fully autonomous robots are much closer than you think – Sergey Levineyoutube.com 14th of 24 in this recording